Join NVIDIA’s DOCA Verification team as a Senior Software Verification Engineer and help shape the future of Data Processing Unit (DPU) and network interface cards software. We are seeking a highly motivated and skilled engineer with hands-on technical experience to verify the design and implementation of next-generation software features, with a focus on solving modern hyper scaler advanced networking aspect like congestion control and optimized network usage.
What you'll be doing:
Collaborate with software, architecture, product, and DevOps teams to define test requirements, coordinate releases, and deliver high-quality products.
Take end-to-end ownership of features: develop test plans, implement, and fully automate testing (primarily in Python).
Design, build, and maintain automated test scripts and frameworks.
Validate software functionality and performance through system-level and integration testing in Linux-based and virtualized environments.
Analyze test results, file bugs, track issues to closure, and ensure robust solutions.
Drive continuous improvement in verification flows and contribute to process and methodology enhancements.
Set up, maintain, and optimize test environments using Linux, Docker, and virtual machines.
Monitor nightly regression systems, analyze failures, and provide thorough root-cause analysis across hardware, OS, and software layers.
What we need to see:
Bachelors Degree in EE, CS or CE or equivalent experience
5+ years of experience in software testing or software engineering
Strong programming skills in C/C++
Solid experience with Linux-based environments, including system tools and command-line utilities.
Methodical troubleshooting skills in Linux environments with a disciplined approach to evidence-based failure analysis.
Detail oriented and comfortable multitasking in a dynamic environment with shifting priorities and changing requirements.
Ability to work with various teams and have strong analytical, debugging and problem-solving skills with attention to details.
Excellent communications skills, self-motivated and well organized.
Knowledge in operating systems and specifically with Linux.
Ways to stand out from the crowd:
Prior software testing experience, with an understanding of Software Testing Tools and Methodologies.
Python or other scripting languages (such as Shell)-advantage.
Experience in CI methodology & servers (e.g. Gerrit, Jenkins etc.).
Knowledge of NVIDIA DPU products.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're creative, self-motivated and enjoy having fun, then what are you waiting for? Apply today!
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
